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Optimization of power consumption in the iterative solution of sparse linear systems on graphics processors.

, , , , , , and . Comput. Sci. Res. Dev., 27 (4): 299-307 (2012)

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HeSP: A Simulation Framework for Solving the Task Scheduling-Partitioning Problem on Heterogeneous Architectures., , and . Euro-Par, volume 9833 of Lecture Notes in Computer Science, page 183-195. Springer, (2016)Reduction to Condensed Forms for Symmetric Eigenvalue Problems on Multi-core Architectures., , , and . PPAM (1), volume 6067 of Lecture Notes in Computer Science, page 387-395. Springer, (2009)MAMUT: Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-User Video Transcoding., , , , , and . DATE, page 558-563. IEEE, (2019)Parallel Implementations for Computing the Minimum Distance of a Random Linear Code on Multicomputers., , and . CoRR, (2019)Balancing task- and data-level parallelism to improve performance and energy consumption of matrix computations on the Intel Xeon Phi., , , , and . Comput. Electr. Eng., (2015)Integration and exploitation of intra-routine malleability in BLIS., , and . J. Supercomput., 76 (4): 2860-2875 (2020)Revisiting conventional task schedulers to exploit asymmetry in multi-core architectures for dense linear algebra operations., , , , , and . Parallel Comput., (2017)Optimization of power consumption in the iterative solution of sparse linear systems on graphics processors., , , , , , and . Comput. Sci. Res. Dev., 27 (4): 299-307 (2012)Efficient algorithms for computing a rank-revealing UTV factorization on parallel computing architectures., , , and . CoRR, (2021)Extending OpenMP to Survive the Heterogeneous Multi-Core Era., , , , , , , , , and . Int. J. Parallel Program., 38 (5-6): 440-459 (2010)